Sr. Cloud Platform Engineer

Apache Hadoop, Apache Spark, Artificial intelligence, Amazon Web Services, Cyber security, Machine learning, Engineering, Software engineering, PyTorch, Cloud
Full Time
Depends on Experience
Travel not required

Job Description

Senior Detection Engineer - Cloud Platform

The Opportunity

After solving the email security problem Abnormal Security’s next big bet is ingesting any event that happens in our customer’s cloud environments and detecting suspicious activities. This requires detecting one in a million events that constitute anomalous behavior, with high precision requirements our customers came to expect from our email detection performance. This team is going to triple in size by the end of 2021 & take the center stage in 2022, playing a huge role in Abnormal’s future success. 

Who you are:

  • You have a product-driven mindset and strong interest in tackling customer-centric problems in a challenging problem space.
  • You prefer focusing on real world problems rather than purely research oriented work. 
  • You like to collaborate closely with engineers & data scientists to brainstorm product ideas, drive team roadmap, and ship end-to-end projects/features.  
  • You’re detail-driven and care about code quality, testing, and customer-driven product experience

What you’ll do: 

  • Design & own detection systems that’ll go with our streaming architecture to detect anomalous behavior among billions of events.
  • Develop high precision models that will be able to detect rare events, using datasets with low amounts of true positives. 
  • Work with the core ML team on common ML components (clustering, deep learning models, transfer learning, etc) that can be used to bootstrap and support new product lines.
  • Mentor and grow junior engineers on the team. 

Experience you’ll need:

  • At least 5 years hands-on experience building ML systems
  • Has built end-to-end ML systems including modeling, maintaining production systems, and running experiments
  • Experience with ML toolkits including sklearn, and pytorch or tensorflow or similar
  • Experience with big-data processing systems such has spark or hadoop
  • Strong software engineering and data science skills

Nice to have:

  • Experience with fraud detection on large datasets or cyber security

More About Abnormal Security:

Abnormal Security is defining the next generation of email security defense. Our platform uses machine learning and artificial intelligence to baseline communication content, user identity, and behavioral signals in real-time and at-scale in order to detect the abnormalities of email attacks.  Customers love us because we consistently detect and stop what everyone else in the market can’t -- advanced attacks that have never been seen before -- and we do so with beautiful user interfaces and best-in-industry customer support.

Our veteran team has built some of the most enduring machine learning platforms at leading companies including Google, Twitter, Pinterest, Amazon, Microsoft, and Expanse. We are located in San Francisco, CA, New York, NY and Lehi, UT.

Our company is growing - we’re on the Forbes AI 50, selected as a Gartner 2020 Cool Vendor, and our customer base includes multiple Fortune 500 companies.

Abnormal Security is committed to creating a diverse work environment. All qualified applicants will receive consideration without regard to race, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.

Dice Id : RTX1e42db
Position Id : 7107788
Originally Posted : 2 months ago
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